Table 5

Factors predicting clinical failure
Success Failure P OR
N 983 190 Bivariate Multivariate
Age (mean ± SD) 64.1 ± 17.6 68.9 ± 14.7 <0.001 p= 0.100
Coming from healthcare facilities 183 (18.6) 56 (29.5) 0.001 p= 0.215
Prior hospitalization (previous 30 days) 255 (25.9) 68 (35.8) 0.005 p= 0.625
Charlson index 2.07 ± 2.07 3.17 ± 2.16 <0.001 1.19 (1.10-1.28) p<0.001
Heart failure 358 (36.4) 94 (49.5) 0.001 p= 0.123
Renal insufficiency 281 (28.6) 86 (45.3) <0.001 p= 0.155
Diabetes 408 (41.5) 93 (48.9) 0.058 p= 0.744
Malignancies 384 (39.0) 104 (54.7) <0.001 p= 0.775
Immunosuppressive therapy 178 (18.1) 47 (24.7) 0.034 p= 0.262
Malnutrition 74 (7.5) 34 (17.9) <0.001 2.00 (1.22-3.26) p=0.006
Nosocomial infection 187 (25.3) 88 (51.8) <0.001 4.12 (2.27-7.48) p<0.001
Microbiological tests 652 (66.3) 160 (84.2) <0.001 p= 0.020
Complete adherence 184 (18.7) 15 (7.9) 0.001 0.35 (0.19-0.64) p=0.001
Treatment initiated in Emergency room 777 (79.0) 138 (72.6) 0.051 p= 0.023
Adequate initial treatment 147 (15.0) 9 (4.7) <0.001 0.39 (0.19-0.80) p=0.010
Modification of initial treatment 306 (31.1) 43 (22.6) 0.019 p= 0.140
Length of hospitalization 18.9 (27.0) 36.3 (37.4) <0.001 1.01 (1.01-1.02) p<0.001

It shows only significant variables in the bivariate analysis. “Clinical failure” was used as dependent variable.

Fariñas et al.

Fariñas et al. BMC Infectious Diseases 2012 12:292   doi:10.1186/1471-2334-12-292

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